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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 2729
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    oai_token-act-pair · gpt-3.5-turbo

    references to files and documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Rapt
    -0.70
     grav
    -0.63
     seating
    -0.61
     towers
    -0.60
     soph
    -0.60
     predomin
    -0.59
    hips
    -0.59
     Saras
    -0.59
     usher
    -0.59
     heated
    -0.58
    POSITIVE LOGITS
    file
    4.21
    files
    2.48
    File
    2.22
    FILE
    2.19
     file
    1.85
    folder
    1.80
     File
    1.78
     FILE
    1.75
    filename
    1.68
    Files
    1.67
    Activations Density 0.006%

    No Known Activations